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Data Mining and Knowledge Discovery via Logic-Based Methods
There are many approaches to data mining and knowledge discovery (DM&KD), including neural networks, closest neighbor methods, and various statistical methods. This monograph, however, focuses on the development and use of a novel approach, based on mathematical logic, that the author and his re...
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Lenguaje: | eng |
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Springer
2010
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Acceso en línea: | https://dx.doi.org/10.1007/978-1-4419-1630-3 http://cds.cern.ch/record/1412755 |
Sumario: | There are many approaches to data mining and knowledge discovery (DM&KD), including neural networks, closest neighbor methods, and various statistical methods. This monograph, however, focuses on the development and use of a novel approach, based on mathematical logic, that the author and his research associates have worked on over the last 20 years. The methods presented in the book deal with key DM&KD issues in an intuitive manner and in a natural sequence. Compared to other DM&KD methods, those based on mathematical logic offer a direct and often intuitive approach for extracting easily int |
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